Databricks

1 month ago

Delivery Solutions Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Deliver post-sale technical leadership for Databricks workloads, aligning across sales, field engineering and professional services to accelerate adoption. Lead multi-team execution, ensure onboarding and go-live success, and communicate value to senior customers while shaping strategic roadmaps and product feedback.

Location: Vancouver

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
•Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
•Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
•Leverage Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks beyond your scope
•Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services resources on the delivery of PS Engagement proposals

Travel: Medium travel

Pay and Benefits

Salary: CAD 175,800 - 241,800 annually

Key Requirements

•5+ years of experience accountable for technical project/program delivery within Data and AI
•Programming experience in Python, SQL or Scala
•Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
•Understanding of solution architecture related distributed data systems
•Technical program or project management including account, stakeholder and resource management accountability

Experience:5+ yearsData analyticsAICloud computingEnterprise software

Education:Bachelor's

Skills:CommunicationCollaborationLeadershipProblem-solvingStakeholder management

Languages:English

Tech Stack:PythonSQLScalaDatabricksLakehouseCloud computing

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

1 month ago

Delivery Solutions Architect

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Vancouver

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
•Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
•Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
•Leverage Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks beyond your scope
•Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services resources on the delivery of PS Engagement proposals

Travel: Medium travel

Pay and Benefits

Salary: CAD 175,800 - 241,800 annually

Key Requirements

•5+ years of experience accountable for technical project/program delivery within Data and AI
•Programming experience in Python, SQL or Scala
•Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
•Understanding of solution architecture related distributed data systems
•Technical program or project management including account, stakeholder and resource management accountability

Experience:5+ yearsData analyticsAICloud computingEnterprise software

Education:Bachelor's

Skills:CommunicationCollaborationLeadershipProblem-solvingStakeholder management

Languages:English

Tech Stack:PythonSQLScalaDatabricksLakehouseCloud computing

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn